Search results for "Reference data"

showing 10 items of 35 documents

Wear modelling in mild steel orthogonal cutting when using uncoated carbide tools

2007

Abstract Wear prediction in machining has been recently studied by FEM although the use of numerical methods for such applications is still a very challenging research issue. In fact, wear phenomenon involves many aspects related to process mechanics which require a very accurate modelling. In other words, only a very punctual code set-up can help the researchers in order to obtain consistent results in FE analysis. The high relative velocity between chip and tool requires effective material models as well as friction modelling at the interface. Moreover the prediction of temperature distribution is another critical task; in the paper some different procedures are discussed. Subsequently a …

FEMMaterials scienceCutting toolChip formationReference data (financial markets)Mechanical engineeringSurfaces and Interfacestool wear prediction carbide tools temperature in cutting FEMCondensed Matter PhysicsChipFinite element methodSurfaces Coatings and FilmsTool wear prediction; Carbide tools; Temperature in cutting; FEMCarbide toolsMachiningMechanics of MaterialsTemperature in cuttingMaterials ChemistryTool wear predictionTool wearReference modelWear
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Application of point-to-point matching algorithms for background correction in on-line liquid chromatography–Fourier transform infrared spectrometry …

2009

A new background correction method for the on-line coupling of gradient liquid chromatography and Fourier transform infrared spectrometry has been developed. It is based on the use of a point-to-point matching algorithm that compares the absorption spectra of the sample data set with those of a previously recorded reference data set in order to select an appropriate reference spectrum. The spectral range used for the point-to-point comparison is selected with minimal user-interaction, thus facilitating considerably the application of the whole method. The background correction method has been successfully tested on a chromatographic separation of four nitrophenols running acetonitrile (0.08…

ChromatographyAbsorption spectroscopyChemistryReference data (financial markets)Analytical chemistryInfrared spectroscopyFourier transform spectroscopyAnalytical ChemistryNitrophenolschemistry.chemical_compoundSpectroscopy Fourier Transform InfraredBackground Correction MethodFourier transform infrared spectroscopySpectroscopyAcetonitrileAlgorithmsChromatography LiquidTalanta
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Dangerous relationships : biases in freshwater bioassessment based on observed to expected ratios

2018

Copyright by the Ecological Society of America The ecological assessment of freshwaters is currently primarily based on biological communities and the reference condition approach (RCA). In the RCA, the communities in streams and lakes disturbed by humans are compared with communities in reference conditions with no or minimal anthropogenic influence. The currently favored rationale is using selected community metrics for which the expected values (E) for each site are typically estimated from environmental variables using a predictive model based on the reference data. The proportional differences between the observed values (O) and E are then derived, and the decision rules for status ass…

inland waters0106 biological sciencesPercentilepäätöksentekomodelling (creation related to information)010501 environmental sciencesExpected value01 natural sciencescase studylakesStatisticsviitearvotfreshwatersMathematicsevaluationEcologyEcologyBiodiversityVariance (accounting)reference valuessimulationpredictive modelsekologia6. Clean waterreference condition approachmathematical modelsEnvironmental Monitoringmallintaminenecological statusCorrection methodta1172järvetdecision makingtapaustutkimusRiversAnimalssimulointiekologinen tila0105 earth and related environmental sciencesta112bioassessmentluokitus (toiminta)010604 marine biology & hydrobiologyEcological assessmentDecision rulesisävedetInvertebratesReference data13. Climate actionta1181classification errormatemaattiset mallitarviointiQuantileEcological Applications
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Evaluation of the DNA barcoding approach to develop a reference data-set for the threatened flora of Sicily

2014

The Mediterranean Basin is one of the most significantly altered World Biodiversity Hotspots with extensive habitat loss and fast genetic population erosion, for which urgent biodiversity reconnaissance and preservation actions are required. In particular, Sicily has about 600 taxa classified as threatened or near-threatened. The correct recognition and identification of such biodiversity is required for supporting further activities. The objective of this work is to assess the ability of the DNA barcoding approach to identify different taxonomic groups from a collection of the most threatened plant taxa, throughout natural Sicilian populations. The evaluation of the DNA barcoding core mark…

0106 biological sciences0301 basic medicineEcologySettore BIO/02 - Botanica SistematicaBiodiversityPlant ScienceBiology010603 evolutionary biology01 natural sciencesDNA barcodingMediterranean BasinBiodiversity hotspotSettore BIO/01 - Botanica Generale03 medical and health sciences030104 developmental biologyHabitat destructionTaxonThreatened speciesSettore BIO/03 - Botanica Ambientale E ApplicataTaxonomic rankMediterranean threatened flora barcoding identification matK rbcL reference databaseEcology Evolution Behavior and Systematics
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A novel method to predict dark diversity using unconstrained ordination analysis

2019

[Questions] Species pools are the product of complex ecological and evolutionary mechanisms, operating over a range of spatial scales. Here, we focus on species absent from local sites but with the potential to establish within communities — known as dark diversity. Methods for estimating dark diversity are still being developed and need to be compared, as well as tested for the type, and amount, of reference data needed to calibrate these methods. [Location] South Bohemia (48°58′ N, 14°28′ E) and Železné Hory (49°52′ N, 15°34′ E), Czech Republic. [Method] We compared a widely accepted algorithm to estimate species pools (Beals smoothing index, based on species co-occurrence) against a nove…

0106 biological sciencesEcologyReference data (financial markets)Species poolCommunity structureBeals smoothing indexPlant Science010603 evolutionary biology01 natural sciencesCommunity structureEllenberg valuesUnconstrained ordinationCommon speciesDark diversityStatisticsRange (statistics)OrdinationScale (map)Nested sampling algorithmSmoothing010606 plant biology & botanyMathematics
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Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): reference data for the trunk and application in patients with…

2013

Age- and gender-matched reference values are essential for the clinical use of quantitative sensory testing (QST). To extend the standard test sites for QST-according to the German Research Network on Neuropathic Pain-to the trunk, we collected QST profiles on the back in 162 healthy subjects. Sensory profiles for standard test sites were within normal interlaboratory differences. QST revealed lower sensitivity on the upper back than the hand, and higher sensitivity on the lower back than the foot, but no systematic differences between these trunk sites. Age effects were significant for most parameters. Females exhibited lower pressure pain thresholds (PPT) than males, which was the only si…

AdultMalePain Thresholdmedicine.medical_specialtyAdolescentReference data (financial markets)Neuralgia PostherpeticSensory systemAudiologyYoung AdultSex FactorsReference ValuesGermanyPhysical StimulationBack painmedicineHumansAgedPain MeasurementPostherpetic neuralgiabusiness.industryQuantitative sensory testingElectrodiagnosisAge FactorsMiddle Agedmedicine.diseaseTrunkConfidence intervalHealthy VolunteersAnesthesiology and Pain MedicineNeurologyHyperalgesiaNeuropathic painPhysical therapyNeuralgiaFemaleNeurology (clinical)medicine.symptombusinessPainReferences
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Basis-set extrapolation techniques for the accurate calculation of molecular equilibrium geometries using coupled-cluster theory

2006

To reduce remaining basis-set errors in the determination of molecular equilibrium geometries, a basis-set extrapolation (BSE) scheme is suggested for the forces used in geometry optimizations. The proposed BSE scheme is based on separating the Hartree-Fock and electron-correlation contributions and uses expressions obtained by straightforward differentiation of well established extrapolation formulas for energies when using basis sets from Dunning's hierarchy of correlation-consistent basis sets. Comparison with reference data obtained at the R12 coupled-cluster level [CCSD(T)-R12] demonstrates that BSE significantly accelerates the convergence to the basis-set limit, thus leading to impro…

Coupled clusterBasis (linear algebra)Mean squared errorQuantum mechanicsCardinal numberReference data (financial markets)ExtrapolationGeneral Physics and AstronomyApplied mathematicsLimit (mathematics)Physical and Theoretical ChemistryBasis setMathematicsThe Journal of Chemical Physics
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Toward the Standardization of Mitochondrial Proteomics: The Italian Mitochondrial Human Proteome Project Initiative

2017

The Mitochondrial Human Proteome Project aims at understanding the function of the mitochondrial proteome and its crosstalk with the proteome of other organelles. Being able to choose a suitable and validated enrichment protocol of functional mitochondria, based on the specific needs of the downstream proteomics analysis, would greatly help the researchers in the field. Mitochondrial fractions from ten model cell lines were prepared using three enrichment protocols and analyzed on seven different LC-MS/MS platforms. All data were processed using neXtProt as reference database. The data are available for the Human Proteome Project purposes through the ProteomeXchange Consortium with the iden…

Proteomics0301 basic medicineProteomeStandardizationComputational biologyBiologyMitochondrionProteomicsBioinformaticsBiochemistryenrichment protocol; mitochondria; Mitochondrial Human Proteome Project; standardization;Cell LineMitochondrial Proteins03 medical and health sciences0302 clinical medicineTandem Mass SpectrometryHuman proteome projectHumansProtein Interaction MapsSettore BIO/10 - BIOCHIMICAMitochondrial proteinstandardizationChromatographyLiquidNeXtProtChemistry (all)General Chemistrymitochondria030104 developmental biologyItalyenrichment protocolProteomeReference databaseMitochondrial Human Proteome Projectenrichment protocol; mitochondria; Mitochondrial Human Proteome Project; standardization; Cell Line; Chromatography Liquid; Humans; Italy; Mitochondria; Mitochondrial Proteins; Protein Interaction Maps; Proteome; Proteomics; Tandem Mass Spectrometry; Biochemistry; Chemistry (all)030217 neurology & neurosurgeryChromatography Liquid
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Weighted distance-based trees for ranking data

2017

Within the framework of preference rankings, the interest can lie in finding which predictors and which interactions are able to explain the observed preference structures, because preference decisions will usually depend on the characteristics of both the judges and the objects being judged. This work proposes the use of a univariate decision tree for ranking data based on the weighted distances for complete and incomplete rankings, and considers the area under the ROC curve both for pruning and model assessment. Two real and well-known datasets, the SUSHI preference data and the University ranking data, are used to display the performance of the methodology.

Statistics and ProbabilityDecision tree03 medical and health sciences0302 clinical medicine0504 sociology030225 pediatricsPreference dataStatisticsDecision treePruning (decision trees)University ranking dataDistance-based methodMathematicsWeighted distanceApplied Mathematics05 social sciencesUnivariate050401 social sciences methodsSUSHI dataComputer Science Applications1707 Computer Vision and Pattern RecognitionPreferenceComputer Science ApplicationsRankingRanking dataKemeny distanceSettore SECS-S/01 - StatisticaArea under the roc curve
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Projection Clustering Unfolding: A New Algorithm for Clustering Individuals or Items in a Preference Matrix

2020

In the framework of preference rankings, the interest can lie in clustering individuals or items in order to reduce the complexity of the preference space for an easier interpretation of collected data. The last years have seen a remarkable flowering of works about the use of decision tree for clustering preference vectors. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures in order to clustering ranking data. In this work, a Projection Clustering Unfolding (PCU) algorithm for preference data will be proposed in order to extract useful info…

Computer scienceDecision treeProjetion pursuit · Preference data · Clustering rankingsSpace (commercial competition)PreferenceMatrix (mathematics)RankingProcrustes analysisSettore SECS-S/01 - StatisticaCluster analysisProjection (set theory)AlgorithmPreference (economics)Subspace topologyProjetion pursuit Preference data Clustering rankingsData Analysis and Applications 3
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